Influence of surface morphology on the immersion mode ice nucleation efficiency of hematite particles

Hiranuma, Naruki; Hoffmann, Nadine; Kiselev, Alexei; Dreyer, Axel; Zhang, Kai; Kulkarni, Gourihar; Koop, Thomas; Möhler, Ottmar

doi:10.5194/acp-14-2315-2014

Cited by 79 publications

(166 citation statements)

References 31 publications

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“…First, it could introduce new, physical active sites. For example it has been shown for hematite particles that mechanical milling can change the ice nucleation surface site density, even when accounting for changes in surface area (Hiranuma et al, 2014). Second, it could liberate and/or expose mineral surfaces that were previously encased in volcanic glass.…”

Section: Immersion Freezing Of Droplets Containing Na / Ca Feldsparmentioning

confidence: 99%

Deposition and immersion-mode nucleation of ice by three distinct samples of volcanic ash

2015

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Abstract. Ice nucleation of volcanic ash controls both ash aggregation and cloud glaciation, which affect atmospheric transport and global climate. Previously, it has been suggested that there is one characteristic ice nucleation efficiency for all volcanic ash, regardless of its composition, when accounting for surface area; however, this claim is derived from data from only two volcanic eruptions. In this work, we have studied the depositional and immersion freezing efficiency of three distinct samples of volcanic ash using Raman microscopy coupled to an environmental cell. Ash from the Fuego (basaltic ash, Guatemala), Soufrière Hills (andesitic ash, Montserrat), and Taupo (Oruanui eruption, rhyolitic ash, New Zealand) volcanoes were chosen to represent different geographical locations and silica content. All ash samples were quantitatively analyzed for both percent crystallinity and mineralogy using X-ray diffraction. In the present study, we find that all three samples of volcanic ash are excellent depositional ice nuclei, nucleating ice from 225 to 235 K at ice saturation ratios of 1.05 ± 0.01, comparable to the mineral dust proxy kaolinite. Since depositional ice nucleation will be more important at colder temperatures, fine volcanic ash may represent a global source of cold-cloud ice nuclei. For immersion freezing relevant to mixed-phase clouds, however, only the Oruanui ash exhibited appreciable heterogeneous ice nucleation activity. Similar to recent studies on mineral dust, we suggest that the mineralogy of volcanic ash may dictate its ice nucleation activity in the immersion mode.

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Section: Immersion Freezing Of Droplets Containing Na / Ca Feldsparmentioning

confidence: 99%

Deposition and immersion-mode nucleation of ice by three distinct samples of volcanic ash

2015

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“…In particular, the dynamic light scattering (DLS) size of suspended illite NX particles (0.05 to 1 mg bulk illite NX sample in 1 mL of double-distilled water) was determined using the StabiSizer ® (Microtrac Europe GmbH, PMX 200CS) over the range of 0.0008 to 6.5 µm hydrodynamic diameter. A more detailed description of this instrument and its application for studying the size of particles in suspension are addressed in Hiranuma et al (2014b), and only a brief discussion is given here. The DLS measurements were carried out with negligible contribution of multiple scattering due to the utilized 180 • backscattering mode.…”

Section: Particle Size Distributionmentioning

confidence: 99%

“…Subsequently, a scanning mobility particle sizer (SMPS, TSI Inc., Model 3081 differential mobility analyzer, DMA, and Model 3010 condensation particle counter, CPC) and an aerodynamic particle sizer (APS, TSI Inc., Model 3321) were used to measure particle size distributions over the range of 0.01 to 15.4 µm volume equivalent diameter. The assumption of particle sphericity, a dynamic shape factor (DSF or χ in equations) of 1.49 ± 0.12 (average of 10 measurements ± standard deviation) and a particle density of 2.65 g cm −3 were used to obtain the geometricbased (volume equivalent) diameter from an APS (Hiranuma et al, 2014b). At MRI-DCECC, a combination of an SMPS (TSI Inc., Model 3936) and a welas ® optical particle counter (welas-OPC, PALAS, Sensor series 2500) was used to acquire a size distribution for the size range of 0.01 to 47.2 µm volume equivalent diameter directly from the 1.4 m 3 volume vessel.…”

Section: Particle Size Distributionmentioning

confidence: 99%

“…Furthermore, many of the previous experimental studies have investigated heterogeneous ice nucleation at conditions where water is supercooled before freezing (e.g., Murray et al, 2012). However, the relative importance of the particles' physicochemical properties (i.e., size, composition, solubility, hygroscopicity, cloud condensation nuclei (CCN) activity, ice nucleation (IN) active sites, surface charge and/or crystallographic structure) for immersion freezing is not yet well known (e.g., Hiranuma et al, 2013Hiranuma et al, , 2014bMurray et al, 2012). Hence, more in-depth…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive laboratory study on the immersion freezing behavior of illite NX particles: a comparison of 17 ice nucleation measurement techniques

et al. 2015

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Abstract. Immersion freezing is the most relevant heterogeneous ice nucleation mechanism through which ice crystals are formed in mixed-phase clouds. In recent years, an increasing number of laboratory experiments utilizing a variety of instruments have examined immersion freezing activity of atmospherically relevant ice-nucleating particles. However, an intercomparison of these laboratory results is a difficult task because investigators have used different ice nucleation (IN) measurement methods to produce these results. A remaining challenge is to explore the sensitivity and accuracy of these techniques and to understand how the IN results are potentially influenced or biased by experimental parameters associated with these techniques.Within the framework of INUIT (Ice Nuclei Research Unit), we distributed an illite-rich sample (illite NX) as a representative surrogate for atmospheric mineral dust particles to investigators to perform immersion freezing experiments using different IN measurement methods and to obtain Published by Copernicus Publications on behalf of the European Geosciences Union. N. Hiranuma et al.: A comparison of 17 IN measurement techniquesIN data as a function of particle concentration, temperature (T ), cooling rate and nucleation time. A total of 17 measurement methods were involved in the data intercomparison. Experiments with seven instruments started with the test sample pre-suspended in water before cooling, while 10 other instruments employed water vapor condensation onto drydispersed particles followed by immersion freezing. The resulting comprehensive immersion freezing data set was evaluated using the ice nucleation active surface-site density, n s , to develop a representative n s (T ) spectrum that spans a wide temperature range (−37 • C < T < −11 • C) and covers 9 orders of magnitude in n s .In general, the 17 immersion freezing measurement techniques deviate, within a range of about 8 • C in terms of temperature, by 3 orders of magnitude with respect to n s . In addition, we show evidence that the immersion freezing efficiency expressed in n s of illite NX particles is relatively independent of droplet size, particle mass in suspension, particle size and cooling rate during freezing. A strong temperature dependence and weak time and size dependence of the immersion freezing efficiency of illite-rich clay mineral particles enabled the n s parameterization solely as a function of temperature. We also characterized the n s (T ) spectra and identified a section with a steep slope between −20 and −27 • C, where a large fraction of active sites of our test dust may trigger immersion freezing. This slope was followed by a region with a gentler slope at temperatures below −27 • C. While the agreement between different instruments was reasonable below ∼ −27 • C, there seemed to be a different trend in the temperature-dependent ice nucleation activity from the suspension and dry-dispersed particle measurements for this mineral dust, in particular at higher temperatures. For instance,...

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“…Insensitivity of shape factor toward ice nucleation implies that T1 particles were sufficiently irregular that further increase in irregularity (e.g., T2 particles) does not seem to affect ice nucleating efficiency of ash particles. Experiments with controlled irregular features [e.g., Hiranuma et al, 2014] on the particles would be useful to understand more about the significance of shape factor toward ice nucleation.…”

Section: 1002/2015gl063270mentioning

confidence: 99%

Effects of crystallographic properties on the ice nucleation properties of volcanic ash particles

Kulkarni

Nandasiri

Zelenyuk

et al. 2015

Geophysical Research Letters

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Specific chemical and physical properties of volcanic ash particles that could affect their ability to induce ice formation are poorly understood. In this study, the ice nucleating properties of size‐selected volcanic ash and mineral dust particles in relation to their surface chemistry and crystalline structure at temperatures ranging from −30 to −38°C were investigated in deposition mode. Ice nucleation efficiency of dust particles was higher compared to ash particles at all temperature and relative humidity conditions. Particle characterization analysis shows that surface elemental composition of ash and dust particles was similar; however, the structural properties of ash samples were different.

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Influence of surface morphology on the immersion mode ice nucleation efficiency of hematite particles

Cited by 79 publications

References 31 publications

Deposition and immersion-mode nucleation of ice by three distinct samples of volcanic ash

Deposition and immersion-mode nucleation of ice by three distinct samples of volcanic ash

A comprehensive laboratory study on the immersion freezing behavior of illite NX particles: a comparison of 17 ice nucleation measurement techniques

Effects of crystallographic properties on the ice nucleation properties of volcanic ash particles

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